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Editorial
. 2023 Sep 15;208(6):645-647.
doi: 10.1164/rccm.202306-1063ED.

The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers

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Editorial

The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers

Anna Rita Larici et al. Am J Respir Crit Care Med. .
No abstract available

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References

    1. Hatabu H, Hunninghake GM, Richeldi L, Brown KK, Wells AU, Remy-Jardin M, et al. Interstitial lung abnormalities detected incidentally on CT: a position paper from the Fleischner Society. Lancet Respir Med . 2020;8:726–737. - PMC - PubMed
    1. Sanders JL, Putman RK, Dupuis J, Xu H, Murabito JM, Araki T, et al. The association of aging biomarkers, interstitial lung abnormalities, and mortality. Am J Respir Crit Care Med . 2021;203:1149–1157. - PMC - PubMed
    1. Chae KJ, Chung MJ, Jin GY, Song YJ, An AR, Choi H, et al. Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival. Eur Radiol . 2022;32:2713–2723. - PubMed
    1. Qaseem A, Wilt TJ, Weinberger SE, Hanania NA, Criner G, van der Molen T, et al. Diagnosis and management of stable chronic obstructive pulmonary disease: a clinical practice guideline update from the American College of Physicians, American College of Chest Physicians, American Thoracic Society, and European Respiratory Society. Ann Intern Med . 2011;155:179–191. - PubMed
    1. Oh AS, Baraghoshi D, Lynch DA, Ash SY, Crapo JD, Humphries SM. Emphysema progression at CT by deep learning predicts functional impairment and mortality: results from the COPDGene study. Radiology . 2022;304:213054. - PMC - PubMed